Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research team, you will design, prototype, and evaluate SDR solutions to process and analyze multi-channel RF signals in support of Department of Energy (DOE), Department of Defense (DoD), and Intelligence
-
and image data processing. Specific knowledge related to neural network design, training, and optimization is required. You will be joining a group with core expertise in sensor data analytics from
-
). As part of our research team, you will… Major Duties/Responsibilities: Work with a team to move research concepts from exploratory prototype to delivered system. Create, test, and maintain software
-
-accepted standards and laboratory and division-level processes and guidelines, you’ll mentor the team and assign, plan, schedule and track tasks. Specific responsibilities of the position include, but
-
robotic systems and manipulators tailored for operation within hot cell environments. Develop robust, kinematic and dynamic models ensuring precision, safety, and reliability in hazardous conditions
-
excellent interpersonal, communication, computer, writing skills, and professional image. Refined teaming skills and understanding and demonstration of effective team collaboration concepts. Ability to multi
-
, pyrometry, spectroscopy, co-axial and off-axis high speed imaging, and more) for process monitoring and diagnostics. Develop and implement data acquisition, signal processing, and data analytics frameworks
-
technology focused on gas testing of prototype enrichment devices for processing uranium-bearing and stable isotope compounds. The Mechanical Systems Modeling Group applies first-principles physics and
-
on precision isotopic and trace analysis on other biological nuclear, and environmental samples. Candidate will help perform research to develop prototype, cutting-edge devices and mass spectrometry
-
compliance, reproducibility, and interoperability across scientific domains. By improving data readiness processes, this role will amplify the potential of AI-driven discovery in areas such as high energy